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mHealth platforms are helping healthcare providers with Quick Access to Decision Support Resources

mHealth platforms are helping healthcare providers with Quick Access to Decision Support Resources | healthcare technology | Scoop.it

Healthcare providers who access clinical decision support through mHealth platforms are finding a world of information at their fingertips – and they could be saving lives.

 

Digital technologies are changing the way medical information is gathered and exchanged.  Physicians of all ages and medical subspecialties from across the globe are utilizing tools to discuss potential diagnoses and obtain second opinions.

 

That’s the takeaway from researchers at the Scripps Research Translational Institute who took a closer look at online crowdsourced consult platforms.

 

Their conclusion is that these platforms, which include social media networks like SERMO, Medscape and HealthTap, are giving providers quick access to information that’s helping them reduce serious, costly and potentially deadly medical errors.

 

The study, focusing on an analysis of more than 37,000 active users on the MedScape Consult network between 2015 and 2017, appears in a recent issue of NPJ Digital Medicine.

 

The research points to the value of a mobile health resource for clinical decision support, giving providers a real-time portal for physician-to-physician engagement. Billed as a source for “the second to hundredth opinion in medicine,” these portals allow providers to gather best practices and apply them quickly, reducing the chances of a clinical error.

 

The study also points to the changing nature of clinical decision support.The study noted that providers can’t necessarily rely on informal face-to-face consults with colleagues – commonly known as curbside consults – because they’re “frequently inaccurate and incomplete.” Yet they can’t just call up a nearby specialist at a moment’s notice.

 

The study found that : "At a time when we’re turning to artificial intelligence to help improve diagnostic accuracy, there’s still plenty of room for tapping into human intelligence via such medical consulting platforms, Artificial intelligence has been advocated as the definitive pathway for reducing misdiagnosis, But the study's findings suggest the potential for collective human intelligence, which is algorithm-free and performed rapidly on a voluntary basis, to emerge as a competitive or complementary strategy."

 

 

nrip's insight:

Well how surprising! Collective human intelligence still works :)

 

For us, its not surprising. As I been posting in my articles, speaking at my talks and offering my $0.02 in my insights,  for all the talk of AI and Deep Learning, I feel technology's best use in healthcare is in automation of processes and improving communication and collaboration.  And such studies show that we have lots of gain by building better tools to help clinicians communicate and collaborate better. Someday , AI "may" replace human intelligence, but not today and not anytime soon.

 

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Enhancing Patient Care with Clinical Documentation Improvement

Enhancing Patient Care with Clinical Documentation Improvement | healthcare technology | Scoop.it

Clinical documentation improvement (CDI) ensures that health services are accurately documented and helps healthcare coders and physicians work toward improved patient care while also streamlining productivity.

 

When meaningful clinical data is captured, organizations can ensure improved quality reporting, clinician productivity, and even better clinical information delivered at the point of care.

 

Phoenix Children’s Hospital recently opted for CDI at its outpatient clinics with Medicomp Systems.

 

It’s important to help physicians make patient care faster, safer, and more efficient.

 

Every single symptom, sign, medication, surgery, drug, operation procedure, almost a repository of more than 360,000 terms, they have structured and coded with every possible common coding schema, such as ICD-10,” he continued.

 

Having 360,000 terms can be overwhelming, but they were built along disease patterns. If a physician entered that a patient had asthma, or tried to research asthma in the database, it went out to all related items that were related to asthma and it brought them together in a manner of an automatic template that was a quick, rapid initial draft.

 

There is no magic formula with clinical documentation and finding an applicable system for an organization.

“You cannot take shortcuts. You cannot not capture things that are critical and essential,”

 

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ScientificAnimations's comment, May 22, 2018 8:46 AM
Blockchain is a system that makes health information accessible to doctors from anywhere, anytime, and on any electronic medical system. http://sco.lt/5yVeuP

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